scholarly journals Nanostructure Dictating Thermal Transport in Heterogeneous Material Systems

2014 ◽  
Author(s):  
Matthew Bauer
Keyword(s):  
Thermal Transport ◽  
Heterogeneous Material ◽  
Material Systems

Interfacial thermal transport in spin caloritronic material systems

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Frank Angeles ◽  
Qiyang Sun ◽  
Victor H. Ortiz ◽  
Jing Shi ◽  
Chen Li ◽  
...  
Keyword(s):  
Thermal Transport ◽  
Material Systems

scholarly journals Mass partitioning effects in diffusion transport

2015 ◽  
Vol 17 (32) ◽  
pp. 20630-20635 ◽  
Author(s):  
Milos Kojic ◽  
Miljan Milosevic ◽  
Suhong Wu ◽  
Elvin Blanco ◽  
Mauro Ferrari ◽  
...  
Keyword(s):  
Heterogeneous Material ◽  
Diffusive Transport ◽  
Diffusion Transport ◽  
Material Systems ◽  
Substantial Control

Mass partitioning may have a substantial control over diffusive transport in heterogeneous material systems.

scholarly journals Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Ruijin Cang ◽  
Yaopengxiao Xu ◽  
Shaohua Chen ◽  
Yongming Liu ◽  
Yang Jiao ◽  
...  
Keyword(s):  
Wide Spectrum ◽  
Heterogeneous Material ◽  
Feature Space ◽  
Material Design ◽  
Deep Belief Network ◽  
Synthesis Methods ◽  
Reconstruction Process ◽  
Complex Material ◽  
Belief Network ◽  
Material Systems

Integrated Computational Materials Engineering (ICME) aims to accelerate optimal design of complex material systems by integrating material science and design automation. For tractable ICME, it is required that (1) a structural feature space be identified to allow reconstruction of new designs, and (2) the reconstruction process be property-preserving. The majority of existing structural presentation schemes relies on the designer's understanding of specific material systems to identify geometric and statistical features, which could be biased and insufficient for reconstructing physically meaningful microstructures of complex material systems. In this paper, we develop a feature learning mechanism based on convolutional deep belief network (CDBN) to automate a two-way conversion between microstructures and their lower-dimensional feature representations, and to achieve a 1000-fold dimension reduction from the microstructure space. The proposed model is applied to a wide spectrum of heterogeneous material systems with distinct microstructural features including Ti–6Al–4V alloy, Pb63–Sn37 alloy, Fontainebleau sandstone, and spherical colloids, to produce material reconstructions that are close to the original samples with respect to two-point correlation functions and mean critical fracture strength. This capability is not achieved by existing synthesis methods that rely on the Markovian assumption of material microstructures.

Compression of Heterogeneous Material Systems Based on Wang Tilings

2013 ◽  
Vol 592-593 ◽  
pp. 149-152 ◽  
Author(s):  
Martin Doškář ◽  
Jan Novák
Keyword(s):  
Spatial Orientation ◽  
Random Media ◽  
Heterogeneous Materials ◽  
Heterogeneous Material ◽  
Central Idea ◽  
Synthesis Algorithm ◽  
Planar Domains ◽  
Wang Tiles ◽  
Material Systems ◽  
Finite Set

The present study is on the concept of modeling of heterogeneous materials by means of Wang tilings. The central idea is to store a microstructural information within a finite set of Wang Tiles, which allow for reconstructing heterogeneity patterns of random media in planar domains of arbitrary sizes. The particular objective of presented work is our automatic tile set designer in conjunction with stochastic tiling synthesis algorithm. The proposed methodology is demonstrated on different examples. The proximity of synthesized microstructures to reference media is explored by statistical descriptors and discussed in terms of parasitic spatial orientation orders that may occur.

scholarly journals Mesoscale design of heterogeneous material systems in multi-material additive manufacturing

2017 ◽  
Vol 33 (1) ◽  
pp. 58-67 ◽  
Author(s):  
David Garcia ◽  
Mackenzie E. Jones ◽  
Yunhui Zhu ◽  
Hang Z. Yu
Keyword(s):  
Additive Manufacturing ◽  
Heterogeneous Material ◽  
Material Systems ◽  
Image Position

Abstract

An optimum approximation of n-point correlation functions of random heterogeneous material systems

2014 ◽  
Vol 140 (7) ◽  
pp. 074905 ◽  
Author(s):  
M. Baniassadi ◽  
M. Safdari ◽  
H. Garmestani ◽  
S. Ahzi ◽  
P. H. Geubelle ◽  
...  
Keyword(s):  
Correlation Functions ◽  
Heterogeneous Material ◽  
Material Systems ◽  
Point Correlation

Spall Strength of S2-Glass Fiber Reinforced Polymer Composites

2006 ◽  
Author(s):  
Fuping Yuan ◽  
Liren Tsai ◽  
Vikas Prakash
Keyword(s):  
Polymer Composites ◽  
Spall Strength ◽  
Heterogeneous Material ◽  
Fiber Reinforced Polymer ◽  
Glass Fiber Reinforced Polymer ◽  
Plate Impact ◽  
Reinforced Polymer ◽  
Glass Fiber Reinforced ◽  
Fiber Reinforced Polymer Composites ◽  
Material Systems

The utilization of layered heterogeneous material systems in the development of armor provides a potential for a great improvement in ballistic performance in a variety of lightweight armor applications. Some of the notable recent examples demonstrating the success of synthetic heterogeneous material systems include composite materials with organic matrices reinforced by glass fibers to achieve lightweight and enhanced ballistic resistance. In the present study, a series of plate impact experiments were performed on two S2-glass fiber reinforced polymer composites (GRP) with different resin content for their promising potential in future combat vehicle defense system. GRP has excellent strength along its fiberglass directions, however, the cohesion between fiberglass layers and its resin matrix is not strong and spall usually occurs during a typical impact process. The objective of the present study is to investigate: (a) dispersion and attenuation of shock-waves in two GRP composites; (b) the spall (delamination) strength of the two GRP composites both under compression and pressure-shear shock wave conditions. The GRP specimens were shock loaded by utilizing A1 7075-T6 flyer plates to around 2 GPa; the thickness of flyer and target for each experiment was carefully designed to produce a state of tension near the center of the GRP target plates. Normal plate impact, and combined pressure and shear experiments with skew angles ranging from 12o to 20o, were performed to study the effects of normal compression and combined compression and shear on the GRPs' spall strength. The measured spall strength as a function of the applied shear strain and the normal stress was used to develop a 3-dimensional failure surface. The results indicate that the spall strength of GRP decreases with increasing compressive stress; the addition of shear stress was found detrimental to the spall strength of GRP.

Sign in / Sign up

Export Citation Format

Share Document